DOPA-sparing strategy in the treatment of young onset Parkinson’s disease
Bibliographic record
Abstract
CONTEXT: Late onset Parkinson's disease (LOPD) is a neurodegenerative disorder afflicting individuals of ages 60 and older. However, 5-10% of cases can begin earlier between the ages 20 to 40, and are classified as young onset Parkinson disease (YOPD). AIM: In turn, this study aims to observe the trend in the choice of drug administered to patients with both YOPD and LOPD, with particular emphasis on this trend in its relation to the practice background of the neurologist. SETTINGS AND DESIGN: A cross-sectional study was conducted in a community based Parkinson's disease and movement disorder clinic. STATISTICAL ANALYSIS USED: Using a retrospective chart review data was obtained and analysed. RESULTS: The results showed that 83% of general neurologists prescribed levodopa to their patients with YOPD, whereas movement-disorder specialists took a different approach altogether. They opted not to use levodopa and, in its stead, prescribed a mixture of alternate drugs.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".